The self-selected intensity of physical activity during real-life e-bike commuting
Amund Riiser, Eivind Aadland, Solveig Nordengen

TL;DR
This study finds that e-bike commuting involves moderate to vigorous physical activity, which could help improve public health if more people switch from cars to e-bikes.
Contribution
The study provides new empirical evidence on the self-selected intensity of e-bike commuting in real-life conditions.
Findings
E-bike commuting involves moderate to vigorous physical activity based on METs.
Uphill segments of commutes are more intense than flat or downhill segments.
Promoting e-bike use could have significant public health benefits.
Abstract
Decreasing physical activity levels present a major public health challenge. The use of e-bikes has risen substantially over the past decade, presenting a potential solution to common barriers associated with physical activity and conventional cycling. However, the intensity of e-bike commuting in real-life settings remains unknown. This study aimed to investigate the self-selected intensity and the impact of topography on intensity during regular e-bike commuting. In this cross-sectional study, oxygen consumption, power output, heart rate, perceived exertion, and positional data were recorded from 19 commuters [mean (standard deviation) age 41 (8) years] during their regular commutes on their own e-bikes. Data were summarized and analyzed in 10, 30, and 60 s epochs, and adjusted for the duration of the commutes. Intensity of the commutes was compared between downhill, flat, or uphill…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUrban Transport and Accessibility · Physical Activity and Health · Injury Epidemiology and Prevention
